Variational Lossy Autoencoder

8 November 2016

Pieter Abbeel

Papers citing "Variational Lossy Autoencoder"

50 / 120 papers shown

Title
Good Things Come in Pairs: Paired Autoencoders for Inverse Problems Matthias Chung B. Peters Michael Solomon 34 0 0 10 May 2025
Generative Adversarial Networks for High-Dimensional Item Factor Analysis: A Deep Adversarial Learning Algorithm Nanyu Luo Feng Ji DRL 41 0 0 15 Feb 2025
SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer H. Chen Z. Wang X. Li X. Sun Fangyi Chen Jiang Liu J. Wang Bhiksha Raj Zicheng Liu Emad Barsoum VLM 114 6 0 14 Dec 2024
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation M. Valiuddin R. V. Sloun C.G.A. Viviers Peter H. N. de With Fons van der Sommen UQCV 89 1 0 25 Nov 2024
Behavioral Cloning Models Reality Check for Autonomous Driving M. Yildirim Barkin Dagda Vinal Asodia Saber Fallah OffRL 31 1 0 11 Sep 2024
Latent Representation Matters: Human-like Sketches in One-shot Drawing Tasks Victor Boutin Rishav Mukherji Aditya Agrawal Sabine Muzellec Thomas Fel Thomas Serre Rufin VanRullen DiffM 31 0 0 10 Jun 2024
Variational Sampling of Temporal Trajectories Jurijs Nazarovs Zhichun Huang Xingjian Zhen Sourav Pal Rudrasis Chakraborty Vikas Singh 24 0 0 18 Mar 2024
Boosting Flow-based Generative Super-Resolution Models via Learned Prior Li-Yuan Tsao Yi-Chen Lo Chia-Che Chang Hao-Wei Chen Roy Tseng Chien Feng Chun-Yi Lee SupR 19 4 0 16 Mar 2024
Separating common from salient patterns with Contrastive Representation Learning Robin Louiset Edouard Duchesnay Antoine Grigis Pietro Gori SSL DRL 43 1 0 19 Feb 2024
Learning to Act without Actions Dominik Schmidt Minqi Jiang OffRL 26 30 0 17 Dec 2023
Unsupervised Denoising for Signal-Dependent and Row-Correlated Imaging Noise Benjamin Salmon Alexander Krull 53 1 0 11 Oct 2023
AI-Generated Content (AIGC) for Various Data Modalities: A Survey Lin Geng Foo Hossein Rahmani J. Liu 73 31 0 27 Aug 2023
A Review of Change of Variable Formulas for Generative Modeling Ullrich Kothe 21 6 0 04 Aug 2023
Cross Attention Transformers for Multi-modal Unsupervised Whole-Body PET Anomaly Detection Ashay Patel Petru-Daniel Tudosiu W. H. Pinaya G. Cook Vicky Goh Sebastien Ourselin M. Jorge Cardoso OOD ViT MedIm 22 11 0 14 Apr 2023
Variational Inference for Longitudinal Data Using Normalizing Flows Clément Chadebec S. Allassonnière BDL DRL 24 1 0 24 Mar 2023
High Fidelity Image Synthesis With Deep VAEs In Latent Space Troy Luhman Eric Luhman DRL 3DV 28 7 0 23 Mar 2023
FullFormer: Generating Shapes Inside Shapes Tejaswini Medi Jawad Tayyub M. Sarmad Frank Lindseth M. Keuper 35 0 0 20 Mar 2023
Variational Mixture of HyperGenerators for Learning Distributions Over Functions Batuhan Koyuncu Pablo Sánchez-Martín I. Peis Pablo Martínez Olmos Isabel Valera BDL GAN DRL 19 5 0 13 Feb 2023
A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-run Langevin Flow for Approximate Inference Jianwen Xie Y. Zhu Yifei Xu Dingcheng Li Ping Li BDL DRL 19 7 0 23 Jan 2023
Clinically Plausible Pathology-Anatomy Disentanglement in Patient Brain MRI with Structured Variational Priors Anjun Hu J. Falet Brennan Nichyporuk Changjian Shui Douglas L. Arnold Sotirios A. Tsaftaris Tal Arbel 19 2 0 15 Nov 2022
Augmentative Topology Agents For Open-Ended Learning Muhammad Umair Nasir Michael Beukman Steven D. James C. Cleghorn 27 3 0 20 Oct 2022
Decoding Visual Neural Representations by Multimodal Learning of Brain-Visual-Linguistic Features Changde Du Kaicheng Fu Jinpeng Li Huiguang He VLM 36 67 0 13 Oct 2022
Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs Ðorðe Miladinovic Kumar Shridhar Kushal Kumar Jain Max B. Paulus J. M. Buhmann Mrinmaya Sachan Carl Allen DRL 21 5 0 26 Sep 2022
FusionVAE: A Deep Hierarchical Variational Autoencoder for RGB Image Fusion Fabian Duffhauss Ngo Anh Vien Hanna Ziesche Gerhard Neumann 33 4 0 22 Sep 2022
A Geometric Perspective on Variational Autoencoders Clément Chadebec S. Allassonnière DRL 26 21 0 15 Sep 2022
The Neural Process Family: Survey, Applications and Perspectives Saurav Jha Dong Gong Xuesong Wang Richard E. Turner L. Yao BDL 73 24 0 01 Sep 2022
Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling Tung Nguyen Aditya Grover BDL UQCV 19 99 0 09 Jul 2022
Automated Cancer Subtyping via Vector Quantization Mutual Information Maximization Zheng Chen Lingwei Zhu Ziwei Yang Takashi Matsubara 11 7 0 22 Jun 2022
Latent Variable Modelling Using Variational Autoencoders: A survey Vasanth Kalingeri CML DRL 18 2 0 20 Jun 2022
Structured Uncertainty in the Observation Space of Variational Autoencoders James A. G. Langley M. Monteiro Charles Jones Nick Pawlowski Ben Glocker CML OOD BDL DRL 31 2 0 25 May 2022
Variational Inference MPC using Normalizing Flows and Out-of-Distribution Projection Thomas Power Dmitry Berenson 22 29 0 10 May 2022
Statistical Model Criticism of Variational Auto-Encoders Claartje Barkhof Wilker Aziz DRL 19 3 0 06 Apr 2022
Efficient-VDVAE: Less is more Louay Hazami Rayhane Mama Ragavan Thurairatnam BDL 21 28 0 25 Mar 2022
Variational Autoencoders Without the Variation Gregory A. Daly J. Fieldsend G. Tabor 23 2 0 01 Mar 2022
VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming Eleonora Misino G. Marra Emanuele Sansone 18 21 0 07 Feb 2022
Exploring Social Posterior Collapse in Variational Autoencoder for Interaction Modeling Chen Tang Wei Zhan M. Tomizuka DRL 29 19 0 01 Dec 2021
LDC-VAE: A Latent Distribution Consistency Approach to Variational AutoEncoders Xiaoyu Chen Chen Gong Qiang He Xinwen Hou Yu Liu 28 1 0 22 Sep 2021
Fairness without the sensitive attribute via Causal Variational Autoencoder Vincent Grari Sylvain Lamprier Marcin Detyniecki 24 26 0 10 Sep 2021
Personalized Trajectory Prediction via Distribution Discrimination Guangyi Chen Junlong Li Nuoxing Zhou Liangliang Ren Jiwen Lu 19 52 0 29 Jul 2021
Meta-learning Amidst Heterogeneity and Ambiguity Kyeongryeol Go Seyoung Yun 24 1 0 05 Jul 2021
D2C: Diffusion-Denoising Models for Few-shot Conditional Generation Abhishek Sinha Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 21 118 0 12 Jun 2021
PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior Sang-gil Lee Heeseung Kim Chaehun Shin Xu Tan Chang-Shu Liu Qi Meng Tao Qin Wei Chen Sung-Hoon Yoon Tie-Yan Liu DiffM 18 81 0 11 Jun 2021
Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech Jaehyeon Kim Jungil Kong Juhee Son DRL 45 840 0 11 Jun 2021
Score-based Generative Modeling in Latent Space Arash Vahdat Karsten Kreis Jan Kautz DiffM 11 658 0 10 Jun 2021
Priors in Bayesian Deep Learning: A Review Vincent Fortuin UQCV BDL 29 124 0 14 May 2021
Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder Clément Chadebec Elina Thibeau-Sutre Ninon Burgos S. Allassonnière 28 61 0 30 Apr 2021
Review of end-to-end speech synthesis technology based on deep learning Zhaoxi Mu Xinyu Yang Yizhuo Dong AuLLM ALM 18 24 0 20 Apr 2021
Geometry-Free View Synthesis: Transformers and no 3D Priors Robin Rombach Patrick Esser Bjorn Ommer ViT 11 93 0 15 Apr 2021
Mixed supervision for surface-defect detection: from weakly to fully supervised learning Jakob Bozic Domen Tabernik D. Skočaj 14 247 0 13 Apr 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models Sam Bond-Taylor Adam Leach Yang Long Chris G. Willcocks VLM TPM 36 478 0 08 Mar 2021